Shaharyar Kamal

Orcid: 0000-0001-6615-5556

According to our database1, Shaharyar Kamal authored at least 24 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features.
IEEE J. Biomed. Health Informatics, June, 2024

2023
On the Performance of MIMO-VLC Techniques in Underground Mining Environments.
Proceedings of the IEEE Latin-American Conference on Communications, 2023

2022
MS-DLD: Multi-Sensors Based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs.
IEEE Access, 2022

2021
An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors Over Depth Sensors.
IEEE Access, 2021

Phase-noise Compensation for QPSK-RoF-OFDM Signals with the Extreme Learning Machine Algorithm for Multilayer Perceptron.
Proceedings of the IEEE Latin-American Conference on Communications, 2021

2020
Improved Dual Sinc Pulses to Reduce ICI Power and PAPR in OFDM-based Systems.
KSII Trans. Internet Inf. Syst., 2020

ICI Reduction by Using the Improved Double-jump 1 Pulse in MQAM-OFDM Schemes.
Proceedings of the 12th International Symposium on Communication Systems, 2020

2019
Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images.
Int. J. Interact. Multim. Artif. Intell., 2019

BER Improvement Using the Better than Double-Jump 2 Pulse in OFDM Schemes Prone to Frequency Offset.
Proceedings of the 16th International Symposium on Wireless Communication Systems, 2019

2018
Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System.
KSII Trans. Internet Inf. Syst., 2018

2017
Improved Nyquist-I Pulses to Enhance the Performance of OFDM-Based Systems.
Wirel. Pers. Commun., 2017

Robust human activity recognition from depth video using spatiotemporal multi-fused features.
Pattern Recognit., 2017

A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems.
Int. J. Interact. Multim. Artif. Intell., 2017

Low-PAPR Hybrid Filter for SC-FDMA.
IEEE Commun. Lett., 2017

2016
Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments.
J. Comput. Networks Commun., 2016

2015
Depth Silhouettes Context: A New Robust Feature for Human Tracking and Activity Recognition based on Advanced Hidden Markov Model.
J. Multim. Process. Technol., 2015

Dense RGB-D Map-Based Human Tracking and Activity Recognition using Skin Joints Features and Self-Organizing Map.
KSII Trans. Internet Inf. Syst., 2015

Individual detection-tracking-recognition using depth activity images.
Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Depth silhouettes context: A new robust feature for human tracking and activity recognition based on embedded HMMs.
Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Nyquist-I pulses designed to suppress the effect of ICI power in OFDM systems.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015

Evaluation of the improved parametric linear combination pulse in digital baseband communication systems.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2015

Shape and Motion Features Approach for Activity Tracking and Recognition from Kinect Video Camera.
Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2015

2014
A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments.
Sensors, 2014

Real-time life logging via a depth silhouette-based human activity recognition system for smart home services.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014


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